Principal Machine Learning Engineer

🕒 May 20

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Revenera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Revenera’s solutions help software and IoT companies build and deliver secure products while protecting their IP. Make a great first impression with your software – with the gold standard for Windows and multi-platform installations. Leverage the power of open source and future-proof your business by eliminating compliance and security risk. Implement flexible monetization models, become a digital leader and grow while keeping your customers front and center. For over 30 years, our 1300+ team members worldwide have been passionate about helping our more than 31,000 customers fuel business success. To learn more, visit revenera.com

📋 Description

• Build end-to-end AI/ML/Agentic-AI solution — from ideation, research, and experimentation to deployment and monitoring in production • Manage project timelines, deliverables, and cross-team dependencies in coordination with product and engineering leads • Translate business and technical requirements into ML roadmap, architecture, and actionable workstreams • Drive adoption of MLOps best practices and champion operational excellence for ML infrastructure • Build and deploy models for cloud workload prediction, resource optimization, and intelligent automation • Integrate GenAI, LLM-based and Agentic AI solutions into customer-facing products and internal systems • Communicate ML strategy, progress, and insights effectively to both technical and non-technical stakeholders

🎯 Requirements

• BTech/BE, Masters or Ph.D. in Computer Science, Machine Learning, AI, or a related field • 10+ years of experience in ML/AI/DE • Proven track record of delivering ML projects into production at scale, preferably in a SaaS/cloud infrastructure setting • Strong hands-on experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and Python • Should have experience with AWS, Terraform • Prior work experience with Databricks and Spark is preferred • Hands-on experience with GenAI, LLMs and Agentic AI frameworks (e.g., OpenAI, Hugging Face, LangChain), including practical implementation in production

🏖️ Benefits

• health insurance • retirement plans • paid time off • flexible work arrangements • professional development